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In Dispatch #13
- Version Check
- LangChain Plotly Upcoming Webinar
- Dash Online Course
- Dash-Langchain Challenge Winners
- Plotly Blogs
- Component of the Month
- App of the Month
- Things Happen
- Dash Enterprise Platform 5.2 (announcement)
- Dash Open Source Framework 2.14.2 (changelog)
- Dash AG Grid 2.4.0 (changelog)
- Plotly.py 5.18.0 (changelog)
- Plotly.js 2.28.0 (changelog)
We’re proud to announce the completion of the joint webinar on January 30, featuring community-built Dash apps.
In the webinar, we heard from LangChain’s Founding Engineer, Erick Friis, on the usage of LangChain within Dash apps.
We also heard directly from the community members and learned how the Dash apps were built.
Class is in session! Adam Schroeder, Plotly Community Manager, is conducting a free course with live sessions on building data apps in Python and Dash. The course dives into creating interactive apps that connect to your analytics code, exploring data sets with the Plotly Dash toolkit, and building connections with the Dash community.
Curious about what can be built with Plotly Dash? Check out the official App Examples page.
The course is now open! And it’s completely free. Secure your spot before the February 3rd deadline. Sign up today.
Thank you everyone for participating in the Dash-Langchain App Building Challenge. The apps submitted by the community went far and beyond our expectations! Absolutely amazing.
Over the last couple of weeks, a group of Plotly staff judges had the pleasure of reviewing each app and voting for the top three app winners. And the winners are…
This app combines LangChain LLMs with Dash AG Grid and the Plotly Polar Bar chart in flawless fashion. Using your openAI API key and a free Alphavantage API key, you can choose a stock ticker and get the latest news stories relevant to that stock. Then, you can access the conversational agent that answers questions about the stock market news.
The Polar Bar chart shows the relative strength of different financial metrics (price-to-earnings, debt-to-equity, etc) for each stock, relative to the other stocks in the S&P 500.
This app is a great tool for a quick visual stock analysis.
An impressive app, indeed! We loved the user interface and the clear description of steps needed for exploring the three currencies.
Using your openAI API key, you simply have to select a currency, let the latest reports download and process into a vectorized database; then, ask your question.
Once you get an answer to your prompt, the model tells you where in the documents it found the information to put together your answer.
The graphs at the bottom part of the app are a sweet addition so you’re not just reading text but can quickly visualize currency trends over time.
This app combines technical innovation with practical business applications. It runs locally and uses private data as well, which means it can be customized according to users’ needs.
The app is a RAG (Retrieval-Augmented Generation) end-to-end framework designed to merge private vector stores with unstructured documents and LLMs, facilitating a locally runnable D.O.T. (Document Of Things) - Chat/QA application.
Simply git-clone the repository, install the libraries from the requirements.txt file, and follow the Quick Start guide to run the app on your computer.
A big thank-you and a shout-out to all the other community members and the apps that they submitted to the challenge:
Check out these recent pieces from our blog page:
- Analyzing Website Structure With robots.txt Files and XML Sitemaps Using Dash
- From Prototyping Jupyter to Deploying Data Apps with Dash AG Grid
- Databricks SDK + Plotly Dash — the easiest way to get Jobs done
- Transitioning Excel Users to Python: the Power of Mito and Dash
Additionally, we launched a new user story portal. Check out how companies like CIBC, Uniper, and Intuit are using Dash!
Dash Sylvereye is a new Python library that facilitates the creation of interactive visualizations, focusing on large primal street networks.
Dash Sylvereye offers a Dash component that supports interactive visualizations on top of web-tiled maps, catering to the analytical and visual needs of urban researchers and planners.
The customizable visualizations allow for the programmatic manipulation of colors, sizes, alpha, and visibility of individual nodes, edges, and markers of the network.
Thank you Alberto for creating this library and sharing it with the Plotly Dash community.
This exquisite Dash app created by community member, Tanguy, exhibits various aspects of space exploration. The app scrapes data daily and in real time (every 6 hours), offering an up-to-date view of space activities.
In addition, there is the helpful Historical tab, which allows you to explore important events from 1940 to 2020.
Using Dash Mantine Components, the app achieves a beautiful layout, which is also fully responsive, adapting to various screen sizes.
See more Dash apps or share your own in the Community Forum’s Show and Tell tag. If you would like your app to be considered for the next edition of the Dash Club newsletter or the Dash Explore Page, please submit your app by clicking the Share Your App button.
Thank you to our community member, Rictuar, for creating the BinDiscover App. BinDiscover enables the easy exploration of data from twenty years of Gas-Chromatograph/Mass-Spectrometry metabolomics. Watch the tutorials to learn more or jump directly to the open source GitHub repo.
Plotly staff members, Todd, Mingo, and Adam, had the pleasure of leading a Dash workshop for dozens of data scientists from around the world in Cincinnati, Ohio.
Ever wanted to embed translated subtitles to videos? Thanks to community member, Andres, we now have a way to do it with Dash. Check out their GitHub repo.
Given the ongoing interest in supporting the open-source Plotly and Dash frameworks, we’ve put together a list of contribution opportunities.
Celebrating our top contributors in December of 2023.